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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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重新定义生物材料的生物相容性:人工智能和文本挖掘的挑战.

Miguel Mateu-Sanz1, Carla V Fuenteslópez2, Juan Uribe-Gomez3

  • 1Biomaterials, Biomechanics, and Tissue Engineering Group, Department of Materials Science and Engineering, Universitat Politècnica de Catalunya, Barcelona 08019, Spain.

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人工智能 (AI) 可以通过定义自动数据分析的生物相容性来提高生物材料的安全性. 本研究提出了一项综合定义,以改善医疗器械的数据挖掘和安全分析.

关键词:
人工智能的人工智能是人工智能.生物相容性 生物相容性生物材料是一种生物材料.数据挖掘是数据挖掘的一个方法.数据库就是数据库.国际标准化组织 (ISO).自然语言处理自然语言处理.

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科学领域:

  • 生物材料科学 生物材料科学
  • 计算生物学 计算生物学
  • 医疗器械开发 医疗器械开发

背景情况:

  • 来自各种来源的"大数据"的数量越来越多,影响着生物材料研究.
  • 生物相容性对于确保医疗器械和生物材料的安全性和有效性至关重要.
  • 目前对生物相容性的定义对于自动数据提取和分析是不够的.

研究的目的:

  • 为了解决对生物相容性的现代和全面定义的需求.
  • 为了克服在制定这样的定义方面面临的挑战.
  • 提出适用于计算数据挖掘方法的综合定义.

主要方法:

  • 文献审查和对现有的生物相容性定义的分析.
  • 确定构成生物相容性的关键属性.
  • 开发一种新的,综合的生物相容性定义.

主要成果:

  • 该研究强调了大数据背景下当前生物相容性定义的局限性.
  • 确定了包括生物相容性的关键要素.
  • 提出了一项综合定义,使数据挖掘方法成为可能.

结论:

  • 标准化,AI兼容的生物相容性定义对于推动生物材料研究至关重要.
  • 拟议的综合定义有助于自动数据提取和安全分析.
  • 这项工作为更高效,更可靠的安全医疗器械开发铺平了道路.